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Design of supervisor-based adaptive process fuzzy logic control
Snejana Yordanova
, Lakhmi C. Jain
Information Systems
Research output
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Contribution to journal
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peer-review
5
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Keyphrases
Fuzzy Logic Control
100%
Adaptive Process
100%
Adaptive Fuzzy Controller
100%
Plant Gain
66%
Design Process
33%
System Performance
33%
Scale Factor
33%
Complex Structure
33%
Control Effort
33%
Parameter Change
33%
Timing Control
33%
System Failure
33%
Industrial Processes
33%
Parallel Distributed Compensation
33%
FLC System
33%
Settling Time
33%
Time Delay
33%
P Systems
33%
Delay Error
33%
Control Surface
33%
Control Coupling
33%
Mamdani
33%
Gain Correction
33%
Estimated Currents
33%
Two-tank
33%
Continuous Adaptation
33%
Self-organizing Method
33%
Operating Point
33%
Computational Load
33%
Complex Design
33%
Operation Range
33%
Chemical Reactors
33%
Output Correction
33%
Time Parameter
33%
Engineering
Fuzzy-Logic Control
100%
Fuzzy Logic Controller
100%
Plant Gain
66%
Systems Performance
33%
Input Data
33%
Scaling Factor
33%
Settling Time
33%
Control Surface
33%
Operating Point
33%
Computational Load
33%
Chemical Reactor
33%
Complex Structure
33%
Delay Time
33%
Chemical Engineering
Chemical Reactor
100%